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Revision as of 17:49, 24 February 2018
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About the Conference The 5thInternational Management Information Systems Conference (IMISC 2018) will take place in Ankara, Turkey, from October 17-19, 2018. Conference Theme The Intelligent Digital Mesh, “an entwining of people, devices, content and services”, is this year’s cross-cutting theme. Suggested topics for your contributions. IMISC 2018 will explore the convergence of business and society in a digital world.
Topics of Interest
Concepts, models, methods, tools, and techniques in Enterprise and IS Engineering
- Business process management
- Business process modeling, analysis, and engineering
- Requirements engineering
- Enterprise architecture and frameworks
- Model-driven engineering
- Aspect-oriented analysis and modeling
- Domain-specific languages and tools
- Blockchain technology
- Advanced database systems
- Reuse
- Testing and validation
Architectures and quality aspects of information systems
- Service-oriented IS
- Multi-agent IS
- Process-aware IS
- Cloud-based IS
- Multi-platform IS
- Cyber-physical systems
- Internet of things
- Privacy, trust and security in information systems
- Quality of services
- Integration and interoperability
- Distributed, mobile and open architecture
Domain-specific information systems
- GIS
- Medical IS
- Legal IS
- Educational IS
Cyber-Social Systems
- Social computing technologies
- Smart city
- Smart government
Big data and its analytics
- Big data applications
- Big data integrity
- Big data processing
- Security and privacy in the era of data science and big data
- Big data analysis and semantics
- Data visualisation
Cognitive Computing
- Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing
- Machine learning
- Neural networks
- Big data and cognition
- Big data infrastructure for cognition
Knowledge, ontologies, data and knowledge management
- Knowledge representation
- Ontology engineering
- Enterprise ontology
- Semantic web
- Domain ontologies
- Domain analysis and modeling
- Education and training
- Applications and case studies
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